code: def bin_dense_train_data():
      bin_dense, bin_target = make_classification(
          n_samples=200,
          n_features=100,
          n_informative=5,
          n_classes=2,
          random_state=0,
      )
      return bin_dense, bin_target
  
file_path: lightning/lightning/impl/tests/conftest.py
imports: import pytest
  import scipy.sparse
  from sklearn.datasets import load_iris
  from lightning.impl.datasets.samples_generator import make_classification
label_desc: Use image node_id 3 for calling a global function with example usage: bin_dense_train_data() and returns: bin_dense,  bin_target